Elements of Survey Sampling

1. Front Matter

   Pages i-xv

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2. Collection of Survey Data

   • Ravindra Singh, Naurang Singh Mangat

   Pages 1-13

3. Elementary Concepts

   • Ravindra Singh, Naurang Singh Mangat

   Pages 14-29

4. Simple Random Sampling

   • Ravindra Singh, Naurang Singh Mangat

   Pages 30-66

5. Sampling With Varying Probabilities

   • Ravindra Singh, Naurang Singh Mangat

   Pages 67-101

6. Stratified Sampling

   • Ravindra Singh, Naurang Singh Mangat

   Pages 102-144

7. Systematic Sampling

   • Ravindra Singh, Naurang Singh Mangat

   Pages 145-164

8. Ratio and Product Methods of Estimation

   • Ravindra Singh, Naurang Singh Mangat

   Pages 165-196

9. Regression Method of Estimation

   • Ravindra Singh, Naurang Singh Mangat

   Pages 197-220

10. Two-Phase Sampling

    • Ravindra Singh, Naurang Singh Mangat

    Pages 221-247

11. Cluster Sampling

    • Ravindra Singh, Naurang Singh Mangat

    Pages 248-282

12. Multistage Sampling

    • Ravindra Singh, Naurang Singh Mangat

    Pages 283-313

13. Sampling from Mobile Populations

    • Ravindra Singh, Naurang Singh Mangat

    Pages 314-330

14. Nonresponse Errors

    • Ravindra Singh, Naurang Singh Mangat

    Pages 331-362

15. Back Matter

    Pages 363-389

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Modern statistics consists of methods which help in drawing inferences about the population under consideration. These populations may actually exist, or could be generated by repeated· experimentation. The medium of drawing inferences about the population is the sample, which is a subset of measurements selected from the population. Each measurement in the sample is used for making inferences about the population. The populations and also the methods of sample selection differ from one field of science to the other. Social scientists use surveys tocollectthe sample information, whereas the physical scientists employ the method of experimentation for obtaining this information. This is because in social sciences the factors that cause variation in the measurements on the study variable for the population units can not be controlled, whereas in physical sciences these factors can be controlled, at least to some extent, through proper experimental design. Several excellent books on sampling theory are available in the market. These books discuss the theory of sample surveys in great depth and detail, and are suited to the postgraduate students majoring in statistics. Research workers in the field of sampling methodology can also make use of these books. However, not many suitable books are available, which can be used by the students and researchers in the fields of economics, social sciences, extension education, agriculture, medical sciences, business management, etc. These students and workers usually conduct sample surveys during their research projects.

• Distribution
• Estimator
• Nation
• economics
• management
• population
• probability distribution
• statistics

• Punjab Agricultural University, Ludhiana, Punjab, India

  Ravindra Singh, Naurang Singh Mangat

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